Papers
3
Total Citations
36
H-Index
2
About
Mei Guo is pioneering the intersection of neuromorphic engineering and biological plausibility, designing memristive circuits that don’t just mimic brain functions but replicate the underlying neural circuitry and operational rules. Her work tackles a fundamental gap in the field: while most bionic circuits achieve simple emulation, Guo’s circuits learn, memorize, and make decisions like biological neural networks. Her 2024 paper on implementing brain-like fear generalization and emotional arousal (16 citations) stands out for modeling the limbic system’s specific neural pathways—a rare achievement in memristor-based emotion circuits. More recently, her 2025 work on multisensory memristive circuits introduces dual adaptive features and parallel processing, enabling multilevel reconfiguration for handling complex sensory inputs simultaneously. With her most-cited paper (18 citations) demonstrating a neuromorphic circuit for classical and operant conditioning using tunable neural circuitry motifs, Guo is redefining what bio-inspired hardware can achieve. Her contributions are critical for advancing brain-like intelligence, offering a path toward truly autonomous systems that integrate learning, memory, and emotional context.
Research Focus
Key Achievements
Top Papers
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